Machine learningNetwork science

Centralnost svojstvenog vektora

Centralnost svojstvenog vektora, koju je uveo Bonacich 1972. godine, meri uticaj čvora uzimajući u obzir ne samo koliko suseda ima, već i koliko su ti susedi uticajni. Čvor postiže visok rezultat ako je povezan sa drugim čvorovima koji takođe imaju visoke rezultate, čineći je rekurzivnom, globalno svesnom merom strukturne važnosti u mreži.

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Izvori

  1. Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2(1), 113–120. DOI: 10.1080/0022250X.1972.9989806
  2. Eigenvector centrality. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Eigenvector Centrality (Bonacich Power Centrality). ScholarGate. https://scholargate.app/sr/network-analysis/eigenvector-centrality

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ScholarGateEigenvector Centrality (Eigenvector Centrality (Bonacich Power Centrality)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/network-analysis/eigenvector-centrality · Skup podataka: https://doi.org/10.5281/zenodo.20539026